Explore AI roles

Keyboard friendly • Copy, share & save roles

Sort by

Position: AI/ML Engineer location: Remote Duration: long term Key Responsibilities AI/ML Engineer - Mid-Level (4-7 Ye...

Contract Remote Ai Ai Engineer

Fully remote

Apply

Core Skills & Experience Must Haves ● 4–8 years of software engineering experience with at least 1–2 years in AI/ML o...

Contract Ai Ai Engineer Generative Ai

Fully remote

Apply

Role: AI/ ML Engineer (Only W2) Location: Iselin, NJ (Hybrid, 3 days in a week from office) Contract Final In-person ...

Contract Machine Learning Nlp Robotics

Fully remote

Apply

Client is looking for good exp in Amazon Connect Development Primary Responsibilities and Skills: In-depth knowledge ...

Contract Generative Ai Ai

Fully remote

Apply

Machine Learning Ai Fulltime

Fully remote

Apply

Selected role

AI ML Engineer

Delta System & Software, Inc. New Jersey, United States

Live

Full-time Posted 24 days ago 2 min read

**Position: AI/ML Engineer**

**location: Remote**

**Duration: long term**

**Key Responsibilities**

**AI/ML Engineer - Mid-Level (4-7 Years Experience)**

**Overview**

**We are seeking an innovative and results-oriented Mid-Level AI/ML Engineer to join our dynamic team. This role is crucial for transforming novel concepts into robust, production-ready AI solutions. The ideal candidate possesses a strong background in Machine Learning engineering, extensive experience with cutting-edge LLMs and cloud-based AI services, and a commitment to maintaining high-quality, responsible AI systems.**

**Key Responsibilities**

**• Full ML Lifecycle Management: Drive projects from initial ideation to production deployment, including data pipeline development, model training, validation, and serving.**

**• LLM & Agentic Development: Design, implement, and optimize solutions utilizing Large Language Models (LLMs) and developing sophisticated Agentic AI systems to solve complex business problems.**

**• Platform Expertise: Leverage and integrate core generative AI platforms, including Gemini and Amazon Bedrock, to build scalable and efficient solutions.**

**• MLOps & Tools: Implement MLOps best practices, utilizing tools like MLFlow for experiment tracking, model versioning, and pipeline orchestration.**

**• Quality Assurance: Develop and execute comprehensive testing strategies for LLM applications, including utilizing frameworks like DeepEval for prompt engineering and model output quality.**

**• Analytical Skill: Apply strong analytical skills to evaluate model performance, diagnose issues, and iterate on solutions to achieve maximum business impact.**

**• Collaboration: Work closely with cross-functional teams (data scientists, product managers, and software engineers) to define requirements and deliver integrated AI features.**

**Required Qualifications**

**• Experience: 4-7 years of professional experience in Machine Learning Engineering, AI Development, or a closely related field.**

**• Education: Master’s degree in Computer Science, Data Science, Engineering, or a quantitative field.**

**• Technical Proficiency:**

**◦ Expertise in Python and core ML/Data Science libraries (e.g., PyTorch, TensorFlow, Scikit-learn).**

**◦ Proven experience in deploying models on major cloud platforms (GCP, AWS, or Azure).**

**◦ Deep understanding of the architecture and fine-tuning of Large Language Models.**

**• Domain Knowledge: Practical experience with MLOps tools (e.g., MLFlow) and validation frameworks (e.g., DeepEval).**

**• Problem Solving: Demonstrated ability to apply analytical skills to complex, ambiguous problems and translate insights into actionable engineering solutions.**

**Preferred Qualifications**

**• Hands-on experience developing applications or services using Google's Gemini API or models.**

**• Direct experience with AWS services related to AI/ML, particularly Amazon Bedrock.**

**• Experience in building and managing multi-step, reasoning-based Agentic AI systems.**

**• Prior experience in optimizing models for latency and cost efficiency in a production environment.**

Ready to apply? You'll go straight to the hiring team.

No agency in the middle · Your profile is shared privately.

Explore the complete AI ecosystem

Discover the best AI-first companies, podcasts, events, learning paths, and jobs in one focused hub.

AI Learning Hub · Always curated, never noisy

Simple pricing for serious AI hiring

Pay per listing. No subscriptions, no hidden fees. Designed for teams hiring for high-impact AI roles.

No-risk: replace or refund if the role doesn’t get traction.

Standard listing

Reach active AI talent

For startups

$349 per role

30-day live listing in the AI job feed.
Structured posting written for AI engineers (we’ll help refine copy).
Instant alerts to subscribed candidates for your tags (LLMs, agents, infra, etc.).

Most teams see first applicants within 24–48 hours.

Max visibility to senior talent

For scale-ups

$649 per role

Everything in Standard, plus homepage & “Featured role” placement.
Priority placement in weekly AI roles newsletter.
1:1 review of your role with DevFound to calibrate for top-tier candidates.
Highlight badge on job page to increase conversion.

Best for teams hiring 1–3 critical AI roles this quarter.

Delta System & Software, Inc. Jobs

Explore AI roles

AI ML Engineer

Generative AI Engineer

AI ML Engineer

Cloud Consultant

AI ML Engineer

Explore the complete AI ecosystem

Choose Your Plan

Simple pricing for serious AI hiring

Reach active AI talent

Max visibility to senior talent